Towards a Framework for Assessing the Maturity of Manufacturing Companies in Industry 4.0 Adoption

[1]  Ghada R. El Said,et al.  Understanding Knowledge Management System antecedents of performance impact: Extending the Task-technology Fit Model with intention to share knowledge construct , 2015 .

[2]  Daniel A. Levinthal,et al.  ABSORPTIVE CAPACITY: A NEW PERSPECTIVE ON LEARNING AND INNOVATION , 1990 .

[3]  Boris Otto,et al.  Design Principles for Industrie 4.0 Scenarios , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

[4]  Ayesha Farooq,et al.  BALANCED SCORECARD PERSPECTIVE ON CHANGE AND PERFORMANCE: A STUDY OF SELECTED INDIAN COMPANIES , 2011 .

[5]  H. Hirsch-Kreinsen.  Digitization of industrial work: development paths and prospects , 2016 .

[6]  Kazukuni Kobara,et al.  Cyber Physical Security for Industrial Control Systems and IoT , 2016, IEICE Trans. Inf. Syst..

[7]  Katherine C. Morris,et al.  Mapping Strategic Goals and Operational Performance Metrics for Smart Manufacturing Systems , 2015 .

[8]  K. Eisenhardt.  Building theories from case study research , 1989, STUDI ORGANIZZATIVI.

[9]  G. Seliger,et al.  Opportunities of Sustainable Manufacturing in Industry 4.0 , 2016 .

[10]  Sang Do Noh,et al.  Smart manufacturing: Past research, present findings, and future directions , 2016, International Journal of Precision Engineering and Manufacturing-Green Technology.

[11]  Anca Draghici,et al.  Service Provision in the Framework of Industry 4.0 , 2016 .

[12]  Jörg Becker,et al.  Developing Maturity Models for IT Management , 2009, Bus. Inf. Syst. Eng..

[13]  Mathias Schmitt,et al.  Towards Industry 4.0 - Standardization as the crucial challenge for highly modular, multi-vendor production systems , 2015 .

[14]  Vasja Roblek,et al.  A Complex View of Industry 4.0 , 2016 .

[15]  Jay Lee,et al.  Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment , 2015 .

[16]  Christian Diedrich,et al.  Integration of Classical Components Into Industrial Cyber–Physical Systems , 2016, Proceedings of the IEEE.

[17]  Lifeng Zhou,et al.  Industry 4.0: Towards future industrial opportunities and challenges , 2015, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

[18]  Jiafu Wan,et al.  Implementing Smart Factory of Industrie 4.0: An Outlook , 2016, Int. J. Distributed Sens. Networks.

[19]  Simon Ford,et al.  Additive manufacturing and sustainability: an exploratory study of the advantages and challenges , 2016 .

[20]  Andreas Schumacher,et al.  A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises , 2016 .

[21]  Eric W. K. Tsang.  Generalizing from Research Findings: The Merits of Case Studies , 2014 .

[22]  Walter Brenner,et al.  The Impact of Cyber-physical Systems on Industrial Services in Manufacturing☆ , 2015 .

[23]  Jay Lee,et al.  Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment , 2014 .

[24]  Swee Leong,et al.  IDENTIFYING PERFORMANCE ASSURANCE CHALLENGES FOR SMART MANUFACTURING. , 2015, Manufacturing letters.

[25]  Helmut Zaiser,et al.  Competences for Cyber-physical Systems in Manufacturing – First Findings and Scenarios , 2014 .

[26]  Klaus Turowski,et al.  A Perspective on Industry 4.0: From Challenges to Opportunities in Production Systems , 2016, IoTBD.

[27]  Elgar Fleisch,et al.  IoT business models in an industrial context , 2016, Autom..

[28]  Sungbum Park,et al.  Development of Innovative Strategies for the Korean Manufacturing Industry by Use of the Connected Smart Factory (CSF) , 2016 .

[29]  Christian Leyh,et al.  SIMMI 4.0 - a maturity model for classifying the enterprise-wide it and software landscape focusing on Industry 4.0 , 2016, 2016 Federated Conference on Computer Science and Information Systems (FedCSIS).

[30]  Roy Wendler,et al.  The maturity of maturity model research: A systematic mapping study , 2012, Inf. Softw. Technol..

[31]  Alan R. Hevner,et al.  Design Science in Information Systems Research , 2004, MIS Q..

[32]  Wenli Du,et al.  Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry , 2017 .